PROBLEMS AND POTENTIAL OF USING ARTIFICIAL INTELLIGENCE IN CROP PRODUCTION AT DIFFERENT STAGES OF THE LIFE CYCLE

UDC 004.83
DOI: 10.36871/2618-9976.2024.02.007

Authors

Vladimir A. Kvasha,
Director, Yaroslavl Branch of the Financial University under the Government of the Russian Federation, Yaroslavl, Russia
Elena I. Voevodina,
Senior Lecturer of the Department of Information Systems and Technologies, Yaroslavl State Technical University, Yaroslavl, Russia
Svetlana O. Kuznetsova,
Senior Lecturer of the Department of Management and General Humanitarian Sciences, Yaroslavl Branch of the Financial University under the Government of the Russian Federation, Yaroslavl, Russia
Maxim E. Kolobaev,
Students of the Department of Information Systems and Technologies, Yaroslavl State Technical University, Yaroslavl, Russia
Daria O. Mikhailova,
Students of the Department of Information Systems and Technologies, Yaroslavl State Technical University, Yaroslavl, Russia

Abstract

Modern crop production faces challenges that require drastic approaches to ensure safety and production efficiency. This article discusses the current issues and potential of using artificial intelligence (AI) and neural networks in agriculture. The introduction of AI promises optimization of production processes, analysis of climate change data, effective problem management and advances in genetic breeding. The article analyzes the problems and areas of application of AI in the context of different stages of the life cycle of crop production.

Keywords

Artificial intelligence, Neural network, Agriculture, Crop production, Life cycle, Forecasting, Yield, Genetic selection, Monitoring, Plant condition, Automation, Process